Literatura científica selecionada sobre o tema "Event-driven vision"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Consulte a lista de atuais artigos, livros, teses, anais de congressos e outras fontes científicas relevantes para o tema "Event-driven vision".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Artigos de revistas sobre o assunto "Event-driven vision"
Sun, Ruolin, Dianxi Shi, Yongjun Zhang, Ruihao Li e Ruoxiang Li. "Data-Driven Technology in Event-Based Vision". Complexity 2021 (27 de março de 2021): 1–19. http://dx.doi.org/10.1155/2021/6689337.
Texto completo da fonteCamunas-Mesa, Luis, Carlos Zamarreno-Ramos, Alejandro Linares-Barranco, Antonio J. Acosta-Jimenez, Teresa Serrano-Gotarredona e Bernabé Linares-Barranco. "An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors". IEEE Journal of Solid-State Circuits 47, n.º 2 (fevereiro de 2012): 504–17. http://dx.doi.org/10.1109/jssc.2011.2167409.
Texto completo da fonteSemeniuta, Oleksandr, e Petter Falkman. "EPypes: a framework for building event-driven data processing pipelines". PeerJ Computer Science 5 (11 de fevereiro de 2019): e176. http://dx.doi.org/10.7717/peerj-cs.176.
Texto completo da fonteLiu, Shih-Chii, Bodo Rueckauer, Enea Ceolini, Adrian Huber e Tobi Delbruck. "Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms". IEEE Signal Processing Magazine 36, n.º 6 (novembro de 2019): 29–37. http://dx.doi.org/10.1109/msp.2019.2928127.
Texto completo da fonteTominski, Christian. "Event-Based Concepts for User-Driven Visualization". Information Visualization 10, n.º 1 (24 de dezembro de 2009): 65–81. http://dx.doi.org/10.1057/ivs.2009.32.
Texto completo da fonteRoheda, Siddharth, Hamid Krim, Zhi-Quan Luo e Tianfu Wu. "Event driven sensor fusion". Signal Processing 188 (novembro de 2021): 108241. http://dx.doi.org/10.1016/j.sigpro.2021.108241.
Texto completo da fonteBerjón, Roberto, Montserrat Mateos, M. Encarnación Beato e Ana Fermoso García. "An Event Mesh for Event Driven IoT Applications". International Journal of Interactive Multimedia and Artificial Intelligence 7, n.º 6 (2022): 54. http://dx.doi.org/10.9781/ijimai.2022.09.003.
Texto completo da fonteMatsui, Chihiro, Kazuhide Higuchi, Shunsuke Koshino e Ken Takeuchi. "Event data-based computation-in-memory (CiM) configuration by co-designing integrated in-sensor and CiM computing for extremely energy-efficient edge computing". Japanese Journal of Applied Physics 61, SC (7 de abril de 2022): SC1085. http://dx.doi.org/10.35848/1347-4065/ac5533.
Texto completo da fonteLenero-Bardallo, Juan Antonio, Teresa Serrano-Gotarredona e Bernabé Linares-Barranco. "A 3.6 $\mu$s Latency Asynchronous Frame-Free Event-Driven Dynamic-Vision-Sensor". IEEE Journal of Solid-State Circuits 46, n.º 6 (junho de 2011): 1443–55. http://dx.doi.org/10.1109/jssc.2011.2118490.
Texto completo da fonteSchraml, Stephan, Ahmed Nabil Belbachir e Horst Bischof. "An Event-Driven Stereo System for Real-Time 3-D 360° Panoramic Vision". IEEE Transactions on Industrial Electronics 63, n.º 1 (janeiro de 2016): 418–28. http://dx.doi.org/10.1109/tie.2015.2477265.
Texto completo da fonteTeses / dissertações sobre o assunto "Event-driven vision"
IACONO, MASSIMILIANO. "Object detection and recognition with event driven cameras". Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1005981.
Texto completo da fonteVon, Arnim Axel. "Capteur visuel pour l'identification et la communication optique entre objets mobiles : des images aux événements". Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4012.
Texto completo da fonteIn this doctoral thesis, we present the results of five years of research, design and production work on an active optical identification sensor comprising a near-infrared transmitter and a high-frequency receiver camera. This sensor locates and identifies a moving object in the visual scene by transmitting optical data. It is thus possible either to transmit data purely optically between moving objects in their respective fields of view, or to combine optical identification with conventional telecommunication means, with the aim of precisely locating the data transmitters, without recourse to or in the absence of GPS or other localization techniques. This technique, which we first explored in 2005, is known as Optical Camera Communication (OCC). Initially, between 2005 and 2008, we implemented the receiver with a CCD camera clocked at 595Hz, achieving a communication rate of 250 bits per second and an average identification time of 76ms (for a 16-bit identifier) over a maximum range of 378m. In a second study phase in 2022-2023, we used an event-driven camera, achieving a communication rate of 2,500 bits per second with a decoding rate of 94%, i.e. an average decoding time equal to the theoretical time of 6.4ms for 16 bits. So we've gained an order of magnitude. Our sensor differs from the state of the art in two ways. Its first version arrived very early, and contributed to the emergence of the concept of optical camera communication. A French patent protected the invention for ten years. Its second version outperforms the state of the art in terms of throughput, while adding robustness for tracking moving objects.Our initial use case was the localization of road objects for inter-vehicular and vehicle-to-infrastructure communication. In our more recent work, we have chosen drone surveillance and object tracking. Our sensor has many applications, particularly where other means of communication or identification are either unavailable or undesirable. These include industrial and military sites, confidential visual communications, the precise tracking of emergency vehicles by drone, and so on. Applications of similar technologies in the field of sports prove the usefulness and economic viability of the sensor.This thesis also presents my entire research career, from research engineer to researcher, then research project manager, and finally research director in a research institute. The areas of research application have varied widely, from driver assistance to neuromorphic AI, but have always followed the common thread of robotics, in its various implementations. We hope to convince the reader of the scientific innovation brought about by our work, and more generally of our contribution to research, its management and its direction
(8921381), Ali Lenjani. "Developing Artificial Intelligence-Based Decision Support for Resilient Socio-Technical Systems". Thesis, 2020.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Event-driven vision"
Lin, Songnan, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen e Jimmy Ren. "Learning Event-Driven Video Deblurring and Interpolation". In Computer Vision – ECCV 2020, 695–710. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58598-3_41.
Texto completo da fonteYuen, Jenny, e Antonio Torralba. "A Data-Driven Approach for Event Prediction". In Computer Vision – ECCV 2010, 707–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15552-9_51.
Texto completo da fonteZaharescu, Andrei, e Richard Wildes. "Anomalous Behaviour Detection Using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Processing". In Computer Vision – ECCV 2010, 563–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15549-9_41.
Texto completo da fonteSchmitt, R. H., R. Kiesel, D. Buschmann, S. Cramer, C. Enslin, M. Fischer, T. Gries et al. "Improving Shop Floor-Near Production Management Through Data-Driven Insights". In Internet of Production, 1–23. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_16-1.
Texto completo da fonteSchmitt, Robert H., Raphael Kiesel, Daniel Buschmann, Simon Cramer, Chrismarie Enslin, Markus Fischer, Thomas Gries et al. "Improving Shop Floor-Near Production Management Through Data-Driven Insights". In Internet of Production, 367–90. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44497-5_16.
Texto completo da fonteVandenbroucke, Gabriel Marin, Simon Gérard e Anthony May. "The impact of the Rio 2016 Olympic and Paralympic Games on the visitor economy: a human rights perspective." In Managing events, festivals and the visitor economy: concepts, collaborations and cases, 145–59. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789242843.00011.
Texto completo da fonteAhuja, Neel. "Weather as War". In Planetary Specters, 131–60. University of North Carolina Press, 2021. http://dx.doi.org/10.5149/northcarolina/9781469664477.003.0005.
Texto completo da fonteGross, Alan G. "Rachel Carson: The Ethical Sublime". In The Scientific Sublime. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190637774.003.0012.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Event-driven vision"
Delbruck, Tobi, Bernabe Linares-Barranco, Eugenio Culurciello e Christoph Posch. "Activity-driven, event-based vision sensors". In 2010 IEEE International Symposium on Circuits and Systems - ISCAS 2010. IEEE, 2010. http://dx.doi.org/10.1109/iscas.2010.5537149.
Texto completo da fonteCamunas-Mesa, L. A., T. Serrano-Gotarredona, B. Linares-Barranco, S. Ieng e R. Benosman. "Event-driven stereo vision with orientation filters". In 2014 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2014. http://dx.doi.org/10.1109/iscas.2014.6865114.
Texto completo da fonteBelbachir, Ahmed Nabil, Stephan Schraml e Aneta Nowakowska. "Event-driven stereo vision for fall detection". In 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2011. http://dx.doi.org/10.1109/cvprw.2011.5981819.
Texto completo da fonteWang, Zihao W., Weixin Jiang, Kuan He, Boxin Shi, Aggelos Katsaggelos e Oliver Cossairt. "Event-Driven Video Frame Synthesis". In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2019. http://dx.doi.org/10.1109/iccvw.2019.00532.
Texto completo da fonteMuller-Budack, Eric, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek e Ralph Ewerth. "Ontology-driven Event Type Classification in Images". In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2021. http://dx.doi.org/10.1109/wacv48630.2021.00297.
Texto completo da fonteMessikommer, Nico, Carter Fang, Mathias Gehrig e Davide Scaramuzza. "Data-Driven Feature Tracking for Event Cameras". In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.00546.
Texto completo da fonteCzarlinska, Alexandra, e Deepa Kundur. "Event-Driven Visual Sensor Networks: Issues in Reliability". In 2008 IEEE Workshop on Applications of Computer Vision (WACV). IEEE, 2008. http://dx.doi.org/10.1109/wacv.2008.4544039.
Texto completo da fonteCamunas-Mesa, L. A., T. Serrano-Gotarredona e B. Linares-Barranco. "Event-driven sensing and processing for high-speed robotic vision". In 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2014. http://dx.doi.org/10.1109/biocas.2014.6981776.
Texto completo da fonteSchraml, Stephan, Ahmed Nabil Belbachir e Horst Bischof. "Event-driven stereo matching for real-time 3D panoramic vision". In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015. http://dx.doi.org/10.1109/cvpr.2015.7298644.
Texto completo da fonteEibensteiner, Florian, Hans Georg Brachtendorf e Josef Scharinger. "Event-driven stereo vision algorithm based on silicon retina sensors". In 2017 27th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2017. http://dx.doi.org/10.1109/radioelek.2017.7937602.
Texto completo da fonte